Php runner connect to mongodb3/20/2024 ![]() Query the table for example, restaurants.The following steps walk through the example: With the connection established, you can then access tables. $conn = sqlsrv_connect( $serverName, $connectionInfo) Įcho "Connection could not be established." Port: Specify the port the service is running on, port 1433 in this example.Database Name: Specify the name of the virtual database you created for MongoDB.Password: Specify the password for the authorized user account.Username: Specify the username for a user you authorized in Connect Server.Server name/Host: Specify the remote host location where the service is running.Initialize the connection object with the following parameters to connect to the virtual SQL Server database: The following examples show how to use object-oriented interfaces to connect and execute queries. With the virtual database created, you are ready to connect to MongoDB data from PHP. You can also execute free-form queries that are not tied to the schema.Ĭlick Privileges -> Add and add the new user (or an existing user) with the appropriate permissions. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Set the Server, Database, User, and Password connection properties to connect to MongoDB. Select "MongoDB" from Available Data Sources.Įnter the necessary authentication properties to connect to MongoDB. Login to Connect Server and click Connections. Leveraging server-side processing to quickly return the requested MongoDB data.Ĭreate a Virtual SQL Server Database for MongoDB DataĬData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs. Using optimized data processing out of the box,ĬData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to MongoDB, ![]() Visualizations, PHP generates SQL queries to gather data. sqlsrv_connect.ĬData Connect Server provides a pure SQL Server interface for MongoDB, allowing you to easily build reportsįrom live MongoDB data in PHP - without replicating the data to a natively supported database. MongoDB data in real time through PHP's standard SQL Server interface, i.e. Follow the steps below to create a virtual SQL Server database for MongoDB and connect to Iterate over each row and column, printing the values to display in the PHP page.You can use CData Connect Server to access MongoDB data from SQL Server clients, without needing to perform anĮTL or cache data.The results will be stored as an associative array in the $result object. Port: Specify the port the service is running on port 3306 in this example.Database Name: Specify the system DSN as the database name.Username: Specify the username for a user you authorized on the SQL Gateway's Users tab.In this case "localhost" is used for the remote host setting since the service is Host: Specify the remote host location where the service is running.Initialize the connection object with the following parameters to connect to the virtual MySQL database: The service can be configured in the SQL Gateway UI. You will configure a MySQL remoting service that listens for MySQL requests from clients. See the SQL Gateway Overview to set up connectivity to MongoDB data as a virtual MySQL database. You can also execute free-form queries that are not tied to the schema. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN. This is also the last step of the driver installation. You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. If you have not already done so, provide values for the required connection properties in the data source name (DSN). Follow the steps below to connect to MongoDB data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL. You can use the CData SQL Gateway and ODBC Driver for MongoDB to access MongoDB data from MySQL clients, without needing to perform an ETL or cache data.
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